A Motion Modification Algorithm for Memory-based Human Motion Simulation Woojin Park Proceedings of the 46th Human Factors and Ergonomics Society Conference, Baltimore, Maryland, September 30 - October 4, 2002. Computer simulation of human movements is an essential element of Computer-Aided Ergonomic Design. As a general, accurate, and extendable motion simulation model, we propose a Memory-Based Motion Simulation (MBMS) method. A MBMS system consists of two key elements: A motion database and a motion modification algorithm. A motion database stores a finite number of real human motion samples (root motions). Given a simulation scenario, the system finds a root motion closely matching the input scenario, and modifies the root motion to meet the given simulation scenario exactly. An angle-time-based motion modification method was developed in this study and was used to predict various goal-directed reach motions. The proposed motion modification algorithm was found to predict real human motions accurately for the 9 DOF seated reach motion modification. The algorithm was also capable of conducting complex whole-body reach motion modifications that involve modifications of 45 joint angle trajectories. abs2002_08
Redesigning Workstations Utilizing a Motion Modification Algorithm. Kevin A. Rider, Woojin Park, Don B. Chaffin, and Bernard J. Martin. Proceedings of SAE ...
uous motion field reduces the bit rate for differentially encoded motion vectors. Our motion ... In [3], we propose a rate-optimized motion estimation based on a âtrueâ motion tracker. ..... ftp://bonde.nta.no/pub/tmn/software/, June 1996. 477.
Abstract. Motion estimation is known to be the main bottleneck in real-time encoding applications, and the search for an effective motion estimation algorithm has ...
Clustering is an unsupervised learning technique. The main advantage of clustering analysis is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. Clustering algorithms can be applied in ma
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H.264/AVC is the state-of-the-art video coding standard ... ommended by Associate Editor R. Lukac. .... where R(MV) is the number of bits to code the MV and.
H.264 is used in many video storage and transmission applications like on Apple's ... accounts for as much as 86% of the total execution time. A motion estimation ..... Acknowledgement. Dark Shikari (x264 developer) and various other people.
1https://sites.google.com/site/ .... We experiment with two real world data sets (social network ... ten found clustering simply puts most instances in one clus-.
AbstractâVideo enhancement has played very important roles in many applications. However, most existing enhancement methods only focus on the spatial quality within a frame while the temporal qualities of the enhanced video are often unguaranteed.
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Performance and Technical information on modifying engines for Harley-Davidson motorcycles. Looking for high performance engine specifications for your ...
trix and ID â DÃD the identity matrix. Note that the operator vec{·} is simply rearranging the parameters by stacking together the columns of the matrix. For voice ...
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inertial frame to the base frame (the platform) is represented as a âfree motionâ ...... International Conference on Robotics and Automation, vol. 4, pp. 3678â3683 ...
Department of Electrical and Computer Engineering. Carnegie Mellon University ..... Locus: Learning object classes with unsupervised segmentation. In IEEE ...
AbstractâA competitive learning network, called Multi-Module Mini- mization (MMM) Neural ... not be mistakenly modeled as a meaningful class. Accordingly, we.
dition, Rico and Brewster [10] reported that users rated motion gestures more .... using the Android SDK [1] for use on the Nexus One phone with a Qualcomm ...
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